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Quantitative Management in R & D pp 18–47 Cite as

Research project planning

  • C. J. Beattie &
  • R. D. Reader  

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In forming a research programme, an organization goes through three major processes:

Project Initiation

Project Evaluation

Project Selection.

  • Branch Point
  • Critical Path
  • Research Strategy
  • Strategy Plan
  • Network Plan

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Bibliography

Battersby , A. (1967). Network Analysis, 2nd edn., London: Macmillan.

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Chilcott , J. F. and Thursfield , P. (1965). Network Planning Under Uncertainty — Some Applications in Research Management, Operational Research Society Annual Conference, September 1965; also C.E.G.B. Digest , 18 , No. 26, 2nd Feb. 1966.

Beattie , C. J., Clarke , H. M., Reader , R. D. and Williams , R. V. (1967). Branching Networks; A Method for Research Project Planning, BISRA Management Brief No. OR/55/67, BISRA (The Inter-Group Laboratories of the British Steel Corporation), London.

Davies , D. G. S. (1969/70). Research Planning Diagrams, report No. P. 902/1/ December 1969, Fulmer Research Institute, Stoke Poges, Bucks; also in Conference ‘Practical Aids to Research Management’, organized on 26th February 1970 by R & D Study Group, O.R. Society, London.

Urwick Management Centre (1968). Network Planning — Probabilistic Networks, Notes BN49, Urwick Orr & Partners Ltd., Slough.

Harary , F., Jessop , N., Luckman , J. and Stringer , J. (1965). Analysis of interconnected decision areas: an algorithm for project development, Nature , Lond. 206 , 118.

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Collcutt , R. H. and Reader R. D. (1966). Applying O.R. to the Management of the O.R. Department at BISRA, BISRA Report OR/14/66, BISRA The Inter-Group Laboratories of the British Steel Corporation) London.

Bisra O.R. Dept. (1967). Research Opportunities for the Operational Research Department in 1968, BISRA Report OR/48/67 (availability restricted), BISRA (The Inter-Group Laboratories of the British Steel Corporation), London.

Donne , M. (1969). Supersonic Increase in Research and Development Costs, The Financial Times ‘Concorde’ Supplement, 10th March 1969, p. 16.

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Beattie, C.J., Reader, R.D. (1971). Research project planning. In: Quantitative Management in R & D. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3001-9_3

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  • How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on October 12, 2022 by Shona McCombes and Tegan George. Revised on November 21, 2023.

Structure of a research proposal

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

  • Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organized and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, other interesting articles, frequently asked questions about research proposals.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

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Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

  • Example research proposal #1: “A Conceptual Framework for Scheduling Constraint Management”
  • Example research proposal #2: “Medical Students as Mediators of Change in Tobacco Use”

Like your dissertation or thesis, the proposal will usually have a title page that includes:

  • The proposed title of your project
  • Your supervisor’s name
  • Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

  • Introduce your topic
  • Give necessary background and context
  • Outline your  problem statement  and research questions

To guide your introduction , include information about:

  • Who could have an interest in the topic (e.g., scientists, policymakers)
  • How much is already known about the topic
  • What is missing from this current knowledge
  • What new insights your research will contribute
  • Why you believe this research is worth doing

As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

  • Comparing and contrasting the main theories, methods, and debates
  • Examining the strengths and weaknesses of different approaches
  • Explaining how will you build on, challenge, or synthesize prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasize again what you aim to contribute and why it matters.

For example, your results might have implications for:

  • Improving best practices
  • Informing policymaking decisions
  • Strengthening a theory or model
  • Challenging popular or scientific beliefs
  • Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

  • Cost : exactly how much money do you need?
  • Justification : why is this cost necessary to complete the research?
  • Source : how did you calculate the amount?

To determine your budget, think about:

  • Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
  • Materials : do you need access to any tools or technologies?
  • Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

  • Sampling methods
  • Simple random sampling
  • Stratified sampling
  • Cluster sampling
  • Likert scales
  • Reproducibility

 Statistics

  • Null hypothesis
  • Statistical power
  • Probability distribution
  • Effect size
  • Poisson distribution

Research bias

  • Optimism bias
  • Cognitive bias
  • Implicit bias
  • Hawthorne effect
  • Anchoring bias
  • Explicit bias

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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planning a research project pdf

Illustration by James Round

How to plan a research project

Whether for a paper or a thesis, define your question, review the work of others – and leave yourself open to discovery.

by Brooke Harrington   + BIO

is professor of sociology at Dartmouth College in New Hampshire. Her research has won international awards both for scholarly quality and impact on public life. She has published dozens of articles and three books, most recently the bestseller Capital without Borders (2016), now translated into five languages.

Edited by Sam Haselby

Need to know

‘When curiosity turns to serious matters, it’s called research.’ – From Aphorisms (1880-1905) by Marie von Ebner-Eschenbach

Planning research projects is a time-honoured intellectual exercise: one that requires both creativity and sharp analytical skills. The purpose of this Guide is to make the process systematic and easy to understand. While there is a great deal of freedom and discovery involved – from the topics you choose, to the data and methods you apply – there are also some norms and constraints that obtain, no matter what your academic level or field of study. For those in high school through to doctoral students, and from art history to archaeology, research planning involves broadly similar steps, including: formulating a question, developing an argument or predictions based on previous research, then selecting the information needed to answer your question.

Some of this might sound self-evident but, as you’ll find, research requires a different way of approaching and using information than most of us are accustomed to in everyday life. That is why I include orienting yourself to knowledge-creation as an initial step in the process. This is a crucial and underappreciated phase in education, akin to making the transition from salaried employment to entrepreneurship: suddenly, you’re on your own, and that requires a new way of thinking about your work.

What follows is a distillation of what I’ve learned about this process over 27 years as a professional social scientist. It reflects the skills that my own professors imparted in the sociology doctoral programme at Harvard, as well as what I learned later on as a research supervisor for Ivy League PhD and MA students, and then as the author of award-winning scholarly books and articles. It can be adapted to the demands of both short projects (such as course term papers) and long ones, such as a thesis.

At its simplest, research planning involves the four distinct steps outlined below: orienting yourself to knowledge-creation; defining your research question; reviewing previous research on your question; and then choosing relevant data to formulate your own answers. Because the focus of this Guide is on planning a research project, as opposed to conducting a research project, this section won’t delve into the details of data-collection or analysis; those steps happen after you plan the project. In addition, the topic is vast: year-long doctoral courses are devoted to data and analysis. Instead, the fourth part of this section will outline some basic strategies you could use in planning a data-selection and analysis process appropriate to your research question.

Step 1: Orient yourself

Planning and conducting research requires you to make a transition, from thinking like a consumer of information to thinking like a producer of information. That sounds simple, but it’s actually a complex task. As a practical matter, this means putting aside the mindset of a student, which treats knowledge as something created by other people. As students, we are often passive receivers of knowledge: asked to do a specified set of readings, then graded on how well we reproduce what we’ve read.

Researchers, however, must take on an active role as knowledge producers . Doing research requires more of you than reading and absorbing what other people have written: you have to engage in a dialogue with it. That includes arguing with previous knowledge and perhaps trying to show that ideas we have accepted as given are actually wrong or incomplete. For example, rather than simply taking in the claims of an author you read, you’ll need to draw out the implications of those claims: if what the author is saying is true, what else does that suggest must be true? What predictions could you make based on the author’s claims?

In other words, rather than treating a reading as a source of truth – even if it comes from a revered source, such as Plato or Marie Curie – this orientation step asks you to treat the claims you read as provisional and subject to interrogation. That is one of the great pieces of wisdom that science and philosophy can teach us: that the biggest advances in human understanding have been made not by being correct about trivial things, but by being wrong in an interesting way . For example, Albert Einstein was wrong about quantum mechanics, but his arguments about it with his fellow physicist Niels Bohr have led to some of the biggest breakthroughs in science, even a century later.

Step 2: Define your research question

Students often give this step cursory attention, but experienced researchers know that formulating a good question is sometimes the most difficult part of the research planning process. That is because the precise language of the question frames the rest of the project. It’s therefore important to pose the question carefully, in a way that’s both possible to answer and likely to yield interesting results. Of course, you must choose a question that interests you, but that’s only the beginning of what’s likely to be an iterative process: most researchers come back to this step repeatedly, modifying their questions in light of previous research, resource limitations and other considerations.

Researchers face limits in terms of time and money. They, like everyone else, have to pose research questions that they can plausibly answer given the constraints they face. For example, it would be inadvisable to frame a project around the question ‘What are the roots of the Arab-Israeli conflict?’ if you have only a week to develop an answer and no background on that topic. That’s not to limit your imagination: you can come up with any question you’d like. But it typically does require some creativity to frame a question that you can answer well – that is, by investigating thoroughly and providing new insights – within the limits you face.

In addition to being interesting to you, and feasible within your resource constraints, the third and most important characteristic of a ‘good’ research topic is whether it allows you to create new knowledge. It might turn out that your question has already been asked and answered to your satisfaction: if so, you’ll find out in the next step of this process. On the other hand, you might come up with a research question that hasn’t been addressed previously. Before you get too excited about breaking uncharted ground, consider this: a lot of potentially researchable questions haven’t been studied for good reason ; they might have answers that are trivial or of very limited interest. This could include questions such as ‘Why does the area of a circle equal π r²?’ or ‘Did winter conditions affect Napoleon’s plans to invade Russia?’ Of course, you might be able to make the argument that a seemingly trivial question is actually vitally important, but you must be prepared to back that up with convincing evidence. The exercise in the ‘Learn More’ section below will help you think through some of these issues.

Finally, scholarly research questions must in some way lead to new and distinctive insights. For example, lots of people have studied gender roles in sports teams; what can you ask that hasn’t been asked before? Reinventing the wheel is the number-one no-no in this endeavour. That’s why the next step is so important: reviewing previous research on your topic. Depending on what you find in that step, you might need to revise your research question; iterating between your question and the existing literature is a normal process. But don’t worry: it doesn’t go on forever. In fact, the iterations taper off – and your research question stabilises – as you develop a firm grasp of the current state of knowledge on your topic.

Step 3: Review previous research

In academic research, from articles to books, it’s common to find a section called a ‘literature review’. The purpose of that section is to describe the state of the art in knowledge on the research question that a project has posed. It demonstrates that researchers have thoroughly and systematically reviewed the relevant findings of previous studies on their topic, and that they have something novel to contribute.

Your own research project should include something like this, even if it’s a high-school term paper. In the research planning process, you’ll want to list at least half a dozen bullet points stating the major findings on your topic by other people. In relation to those findings, you should be able to specify where your project could provide new and necessary insights. There are two basic rhetorical positions one can take in framing the novelty-plus-importance argument required of academic research:

  • Position 1 requires you to build on or extend a set of existing ideas; that means saying something like: ‘Person A has argued that X is true about gender; this implies Y, which has not yet been tested. My project will test Y, and if I find evidence to support it, that will change the way we understand gender.’
  • Position 2 is to argue that there is a gap in existing knowledge, either because previous research has reached conflicting conclusions or has failed to consider something important. For example, one could say that research on middle schoolers and gender has been limited by being conducted primarily in coeducational environments, and that findings might differ dramatically if research were conducted in more schools where the student body was all-male or all-female.

Your overall goal in this step of the process is to show that your research will be part of a larger conversation: that is, how your project flows from what’s already known, and how it advances, extends or challenges that existing body of knowledge. That will be the contribution of your project, and it constitutes the motivation for your research.

Two things are worth mentioning about your search for sources of relevant previous research. First, you needn’t look only at studies on your precise topic. For example, if you want to study gender-identity formation in schools, you shouldn’t restrict yourself to studies of schools; the empirical setting (schools) is secondary to the larger social process that interests you (how people form gender identity). That process occurs in many different settings, so cast a wide net. Second, be sure to use legitimate sources – meaning publications that have been through some sort of vetting process, whether that involves peer review (as with academic journal articles you might find via Google Scholar) or editorial review (as you’d find in well-known mass media publications, such as The Economist or The Washington Post ). What you’ll want to avoid is using unvetted sources such as personal blogs or Wikipedia. Why? Because anybody can write anything in those forums, and there is no way to know – unless you’re already an expert – if the claims you find there are accurate. Often, they’re not.

Step 4: Choose your data and methods

Whatever your research question is, eventually you’ll need to consider which data source and analytical strategy are most likely to provide the answers you’re seeking. One starting point is to consider whether your question would be best addressed by qualitative data (such as interviews, observations or historical records), quantitative data (such as surveys or census records) or some combination of both. Your ideas about data sources will, in turn, suggest options for analytical methods.

You might need to collect your own data, or you might find everything you need readily available in an existing dataset someone else has created. A great place to start is with a research librarian: university libraries always have them and, at public universities, those librarians can work with the public, including people who aren’t affiliated with the university. If you don’t happen to have a public university and its library close at hand, an ordinary public library can still be a good place to start: the librarians are often well versed in accessing data sources that might be relevant to your study, such as the census, or historical archives, or the Survey of Consumer Finances.

Because your task at this point is to plan research, rather than conduct it, the purpose of this step is not to commit you irrevocably to a course of action. Instead, your goal here is to think through a feasible approach to answering your research question. You’ll need to find out, for example, whether the data you want exist; if not, do you have a realistic chance of gathering the data yourself, or would it be better to modify your research question? In terms of analysis, would your strategy require you to apply statistical methods? If so, do you have those skills? If not, do you have time to learn them, or money to hire a research assistant to run the analysis for you?

Please be aware that qualitative methods in particular are not the casual undertaking they might appear to be. Many people make the mistake of thinking that only quantitative data and methods are scientific and systematic, while qualitative methods are just a fancy way of saying: ‘I talked to some people, read some old newspapers, and drew my own conclusions.’ Nothing could be further from the truth. In the final section of this guide, you’ll find some links to resources that will provide more insight on standards and procedures governing qualitative research, but suffice it to say: there are rules about what constitutes legitimate evidence and valid analytical procedure for qualitative data, just as there are for quantitative data.

Circle back and consider revising your initial plans

As you work through these four steps in planning your project, it’s perfectly normal to circle back and revise. Research planning is rarely a linear process. It’s also common for new and unexpected avenues to suggest themselves. As the sociologist Thorstein Veblen wrote in 1908 : ‘The outcome of any serious research can only be to make two questions grow where only one grew before.’ That’s as true of research planning as it is of a completed project. Try to enjoy the horizons that open up for you in this process, rather than becoming overwhelmed; the four steps, along with the two exercises that follow, will help you focus your plan and make it manageable.

Key points – How to plan a research project

  • Planning a research project is essential no matter your academic level or field of study. There is no one ‘best’ way to design research, but there are certain guidelines that can be helpfully applied across disciplines.
  • Orient yourself to knowledge-creation. Make the shift from being a consumer of information to being a producer of information.
  • Define your research question. Your question frames the rest of your project, sets the scope, and determines the kinds of answers you can find.
  • Review previous research on your question. Survey the existing body of relevant knowledge to ensure that your research will be part of a larger conversation.
  • Choose your data and methods. For instance, will you be collecting qualitative data, via interviews, or numerical data, via surveys?
  • Circle back and consider revising your initial plans. Expect your research question in particular to undergo multiple rounds of refinement as you learn more about your topic.

Good research questions tend to beget more questions. This can be frustrating for those who want to get down to business right away. Try to make room for the unexpected: this is usually how knowledge advances. Many of the most significant discoveries in human history have been made by people who were looking for something else entirely. There are ways to structure your research planning process without over-constraining yourself; the two exercises below are a start, and you can find further methods in the Links and Books section.

The following exercise provides a structured process for advancing your research project planning. After completing it, you’ll be able to do the following:

  • describe clearly and concisely the question you’ve chosen to study
  • summarise the state of the art in knowledge about the question, and where your project could contribute new insight
  • identify the best strategy for gathering and analysing relevant data

In other words, the following provides a systematic means to establish the building blocks of your research project.

Exercise 1: Definition of research question and sources

This exercise prompts you to select and clarify your general interest area, develop a research question, and investigate sources of information. The annotated bibliography will also help you refine your research question so that you can begin the second assignment, a description of the phenomenon you wish to study.

Jot down a few bullet points in response to these two questions, with the understanding that you’ll probably go back and modify your answers as you begin reading other studies relevant to your topic:

  • What will be the general topic of your paper?
  • What will be the specific topic of your paper?

b) Research question(s)

Use the following guidelines to frame a research question – or questions – that will drive your analysis. As with Part 1 above, you’ll probably find it necessary to change or refine your research question(s) as you complete future assignments.

  • Your question should be phrased so that it can’t be answered with a simple ‘yes’ or ‘no’.
  • Your question should have more than one plausible answer.
  • Your question should draw relationships between two or more concepts; framing the question in terms of How? or What? often works better than asking Why ?

c) Annotated bibliography

Most or all of your background information should come from two sources: scholarly books and journals, or reputable mass media sources. You might be able to access journal articles electronically through your library, using search engines such as JSTOR and Google Scholar. This can save you a great deal of time compared with going to the library in person to search periodicals. General news sources, such as those accessible through LexisNexis, are acceptable, but should be cited sparingly, since they don’t carry the same level of credibility as scholarly sources. As discussed above, unvetted sources such as blogs and Wikipedia should be avoided, because the quality of the information they provide is unreliable and often misleading.

To create an annotated bibliography, provide the following information for at least 10 sources relevant to your specific topic, using the format suggested below.

Name of author(s):
Publication date:
Title of book, chapter, or article:
If a chapter or article, title of journal or book where they appear:
Brief description of this work, including main findings and methods ( c 75 words):
Summary of how this work contributes to your project ( c 75 words):
Brief description of the implications of this work ( c 25 words):
Identify any gap or controversy in knowledge this work points up, and how your project could address those problems ( c 50 words):

Exercise 2: Towards an analysis

Develop a short statement ( c 250 words) about the kind of data that would be useful to address your research question, and how you’d analyse it. Some questions to consider in writing this statement include:

  • What are the central concepts or variables in your project? Offer a brief definition of each.
  • Do any data sources exist on those concepts or variables, or would you need to collect data?
  • Of the analytical strategies you could apply to that data, which would be the most appropriate to answer your question? Which would be the most feasible for you? Consider at least two methods, noting their advantages or disadvantages for your project.

Links & books

One of the best texts ever written about planning and executing research comes from a source that might be unexpected: a 60-year-old work on urban planning by a self-trained scholar. The classic book The Death and Life of Great American Cities (1961) by Jane Jacobs (available complete and free of charge via this link ) is worth reading in its entirety just for the pleasure of it. But the final 20 pages – a concluding chapter titled ‘The Kind of Problem a City Is’ – are really about the process of thinking through and investigating a problem. Highly recommended as a window into the craft of research.

Jacobs’s text references an essay on advancing human knowledge by the mathematician Warren Weaver. At the time, Weaver was director of the Rockefeller Foundation, in charge of funding basic research in the natural and medical sciences. Although the essay is titled ‘A Quarter Century in the Natural Sciences’ (1960) and appears at first blush to be merely a summation of one man’s career, it turns out to be something much bigger and more interesting: a meditation on the history of human beings seeking answers to big questions about the world. Weaver goes back to the 17th century to trace the origins of systematic research thinking, with enthusiasm and vivid anecdotes that make the process come alive. The essay is worth reading in its entirety, and is available free of charge via this link .

For those seeking a more in-depth, professional-level discussion of the logic of research design, the political scientist Harvey Starr provides insight in a compact format in the article ‘Cumulation from Proper Specification: Theory, Logic, Research Design, and “Nice” Laws’ (2005). Starr reviews the ‘research triad’, consisting of the interlinked considerations of formulating a question, selecting relevant theories and applying appropriate methods. The full text of the article, published in the scholarly journal Conflict Management and Peace Science , is available, free of charge, via this link .

Finally, the book Getting What You Came For (1992) by Robert Peters is not only an outstanding guide for anyone contemplating graduate school – from the application process onward – but it also includes several excellent chapters on planning and executing research, applicable across a wide variety of subject areas. It was an invaluable resource for me 25 years ago, and it remains in print with good reason; I recommend it to all my students, particularly Chapter 16 (‘The Thesis Topic: Finding It’), Chapter 17 (‘The Thesis Proposal’) and Chapter 18 (‘The Thesis: Writing It’).

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Nature and the environment

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You didn’t evolve to live in this techno-industrialised world. Find health and happiness by embracing your wild nature

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How to express your grief

The initial shock might be over. But you need time and space to ‘ride the wave’ of grief if you are to find a sense of peace

by Sue Morris

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How to deal with being bullied at work

You might understandably feel trapped and powerless, but there is a range of steps you can take to improve your situation

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Title: an interactive agent foundation model.

Abstract: The development of artificial intelligence systems is transitioning from creating static, task-specific models to dynamic, agent-based systems capable of performing well in a wide range of applications. We propose an Interactive Agent Foundation Model that uses a novel multi-task agent training paradigm for training AI agents across a wide range of domains, datasets, and tasks. Our training paradigm unifies diverse pre-training strategies, including visual masked auto-encoders, language modeling, and next-action prediction, enabling a versatile and adaptable AI framework. We demonstrate the performance of our framework across three separate domains -- Robotics, Gaming AI, and Healthcare. Our model demonstrates its ability to generate meaningful and contextually relevant outputs in each area. The strength of our approach lies in its generality, leveraging a variety of data sources such as robotics sequences, gameplay data, large-scale video datasets, and textual information for effective multimodal and multi-task learning. Our approach provides a promising avenue for developing generalist, action-taking, multimodal systems.

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99 million people included in largest global vaccine safety study

19 February 2024

Health and medicine , Faculty of Medical and Health Sciences

The Global Vaccine Data Network, hosted at the University of Auckland, utilises vast data sets to detect potential vaccine safety signals

Global Vaccine Data Network co-director Dr Helen Petousis-Harris: Latest study uses vast data sets to ensure vaccine safety.

The Global Vaccine Data Network (GVDN) assessed 13 neurological, blood, and heart related medical conditions to see if there was a greater risk of them occurring after receiving a Covid-19 vaccine in the latest of eight studies in the Global COVID Vaccine Safety (GCoVS) Project.

Recently published in the journal Vaccine , this observed versus expected rates study included 99 million people (over 23 million person-years of follow-up) from 10 collaborator sites across eight countries. The study identified the pre-established safety signals for myocarditis (inflammation of the heart muscle) and pericarditis (inflammation of the thin sac covering the heart) after mRNA vaccines, and Guillain-Barré syndrome (muscle weakness and changed sensation (feeling)), and cerebral venous sinus thrombosis (type of blood clot in the brain) after viral vector vaccines.

Possible safety signals for transverse myelitis (inflammation of part of the spinal cord) after viral vector vaccines and acute disseminated encephalomyelitis (inflammation and swelling in the brain and spinal cord) after viral vector and mRNA vaccines were identified.

So far, these findings were further investigated by the GVDN site in Victoria, Australia. Their study and results are described in the accompanying paper. Results are available for public review on GVDN’s interactive data dashboards .

Observed versus expected analyses are used to detect potential vaccine safety signals. These studies look at all people who received a vaccine and examine if there is a greater risk for developing a medical condition in various time periods after getting a vaccine compared with a period before the vaccine became available.

Lead author Kristýna Faksová of the Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark, remarked that use of a common protocol and aggregation of the data through the GVDN makes studies like this possible. “The size of the population in this study increased the possibility of identifying rare potential vaccine safety signals,” she explains. “Single sites or regions are unlikely to have a large enough population to detect very rare signals.”

By making the data dashboards publicly available, we are able to support greater transparency, and stronger communications to the health sector and public.

Associate Professor Helen Petousis-Harris Co-Director, Global Vaccine Data Network hosted at University of Auckland

GVDN Co-Director Dr. Steven Black said, “GVDN supports a coordinated global effort to assess vaccine safety and effectiveness so that vaccine questions can be addressed in a more rapid, efficient, and cost-effective manner. We have a number of studies underway to build upon our understanding of vaccines and how we understand vaccine safety using big data.”

GVDN Co-Director Dr. Helen Petousis-Harris said, “By making the data dashboards publicly available, we are able to support greater transparency, and stronger communications to the health sector and public.”

The GCoVS Project was made possible with support by the Centers for Disease Control and Prevention (CDC) of the U.S. Department of Health and Human Services (HHS) to allow the comparison of the safety of vaccines across diverse global populations.  

About the Global Data Vaccine Network

Established in 2019 and with data sourced from millions of individuals across six continents, the GVDN collaborates with renowned research institutions, policy makers, and vaccine related organisations to establish a harmonised and evidence-based approach to vaccine safety and effectiveness.

The GVDN is supported by the Global Coordinating Centre based at Auckland UniServices Ltd, a not-for-profit, stand-alone company that provides support to researchers and is wholly owned by the University of Auckland. Aiming to gain a comprehensive understanding of vaccine safety and effectiveness profiles, the GVDN strives to create a safer immunisation landscape that empowers decision making for the global community. For further information, visit globalvaccinedatanetwork.org.

Disclaimer: This news release summarises the key findings of the GVDN observed versus expected study. To view the full publication in Vaccine, visit doi.org/10.1016/j.vaccine.2024.01.100.

This project is supported by the Centers for Disease Control and Prevention (CDC) of the U.S. Department of Health and Human Services (HHS) as part of a financial assistance award totalling US$10,108,491 with 100% percentage funded by CDC/HHS. The contents are those of the author and do not necessarily represent the official views of, nor an endorsement by, CDC/HHS, or the U.S. Government. For more information, please visit cdc.gov

Media inquiries: gvdn@auckland.ac.nz and communications@univervices.co.nz

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Google’s Gemini is now in everything. Here’s how you can try it out.

Gmail, Docs, and more will now come with Gemini baked in. But Europeans will have to wait before they can download the app.

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In the biggest mass-market AI launch yet, Google is rolling out Gemini , its family of large language models, across almost all its products, from Android to the iOS Google app to Gmail to Docs and more. You can also now get your hands on Gemini Ultra, the most powerful version of the model, for the first time.  

With this launch, Google is sunsetting Bard , the company's answer to ChatGPT. Bard, which has been powered by a version of Gemini since December, will now be known as Gemini too.  

ChatGPT , released by Microsoft-backed OpenAI just 14 months ago, changed people’s expectations of what computers could do. Google, which has been racing to catch up ever since, unveiled its Gemini family of models in December. They are multimodal large language models that can interact with you via voice, image, and text. Google claimed that its own benchmarking showed that Gemini could outperform OpenAI's multimodal model, GPT-4, on a range of standard tests. But the margins were slim. 

By baking Gemini into its ubiquitous products, Google is hoping to make up lost ground. “Every launch is big, but this one is the biggest yet,” Sissie Hsiao, Google vice president and general manager of Google Assistant and Bard (now Gemini), said in a press conference yesterday. “We think this is one of the most profound ways that we’re going to advance our company’s mission.”

But some will have to wait longer than others to play with Google’s new toys. The company has announced rollouts in the US and East Asia but said nothing about when the Android and iOS apps will come to the UK or the rest of Europe. This may be because the company is waiting for the EU’s new AI Act to be set in stone, says Dragoș Tudorache, a Romanian politician and member of the European Parliament, who was a key negotiator on the law.

“We’re working with local regulators to make sure that we’re abiding by local regime requirements before we can expand,” Hsiao said. “Rest assured, we are absolutely working on it and I hope we’ll be able to announce expansion very, very soon.”

How can you get it? Gemini Pro, Google’s middle-tier model that has been available via Bard since December, will continue to be available for free on the web at gemini.google.com (rather than bard.google.com). But now there is a mobile app as well.

If you have an Android device, you can either download the Gemini app or opt in to an upgrade in Google Assistant. This will let you call up Gemini in the same way that you use Google Assistant: by pressing the power button, swiping from the corner of the screen, or saying “Hey, Google!” iOS users can download the Google app, which will now include Gemini.

Gemini will pop up as an overlay on your screen, where you can ask it questions or give it instructions about whatever’s on your phone at the time, such as summarizing an article or generating a caption for a photo.  

Finally, Google is launching a paid-for service called Gemini Advanced. This comes bundled in a subscription costing $19.99 a month that the company is calling the Google One Premium AI Plan. It combines the perks of the existing Google One Premium Plan, such as 2TB of extra storage, with access to Google's most powerful model, Gemini Ultra, for the first time. This will compete with OpenAI’s paid-for service, ChatGPT Plus, which buys you access to the more powerful GPT-4 (rather than the default GPT-3.5) for $20 a month.

At some point soon (Google didn't say exactly when) this subscription will also unlock Gemini across Google’s Workspace apps like Docs, Sheets, and Slides, where it works as a smart assistant similar to the GPT-4-powered Copilot that Microsoft is trialing in Office 365.

When can you get it? The free Gemini app (powered by Gemini Pro) is available from today in English in the US. Starting next week, you’ll be able to access it across the Asia Pacific region in English and in Japanese and Korean. But there is no word on when the app will come to the UK, countries in the EU, or Switzerland.

Gemini Advanced (the paid-for service that gives access to Gemini Ultra) is available in English in more than 150 countries, including the UK and EU (but not France). Google says it is analyzing local requirements and fine-tuning Gemini for cultural nuance in different countries. But the company promises that more languages and regions are coming.

What can you do with it? Google says it has developed its Gemini products with the help of more than 100 testers and power users. At the press conference yesterday, Google execs outlined a handful of use cases, such as getting Gemini to help write a cover letter for a job application. “This can help you come across as more professional and increase your relevance to recruiters,” said Google’s vice president for product management, Kristina Behr.

Or you could take a picture of your flat tire and ask Gemini how to fix it. A more elaborate example involved Gemini managing a snack rota for the parents of kids on a soccer team. Gemini would come up with a schedule for who should bring snacks and when, help you email other parents, and then field their replies. In future versions, Gemini will be able to draw on data in your Google Drive that could help manage carpooling around game schedules, Behr said.   

But we should expect people to come up with a lot more uses themselves. “I’m really excited to see how people around the world are going to push the envelope on this AI,” Hsaio said.

Is it safe? Google has been working hard to make sure its products are safe to use. But no amount of testing can anticipate all the ways that tech will get used and misused once it is released. In the last few months, Meta saw people use its image-making app to produce pictures of Mickey Mouse with guns and SpongeBob SquarePants flying a jet into two towers. Others used Microsoft’s image-making software to create fake pornographic images of Taylor Swift .

The AI Act aims to mitigate some—but not all—of these problems. For example, it requires the makers of powerful AI like Gemini to build in safeguards, such as watermarking for generated images and steps to avoid reproducing copyrighted material. Google says that all images generated by its products will include its SynthID watermarks. 

Like most companies, Google was knocked onto the back foot when ChatGPT arrived. Microsoft’s partnership with OpenAI has given it a boost over its old rival. But with Gemini, Google has come back strong: this is the slickest packaging of this generation’s tech yet. 

Artificial intelligence

Ai for everything: 10 breakthrough technologies 2024.

Generative AI tools like ChatGPT reached mass adoption in record time, and reset the course of an entire industry.

What’s next for AI in 2024

Our writers look at the four hot trends to watch out for this year

  • Melissa Heikkilä archive page

OpenAI teases an amazing new generative video model called Sora

The firm is sharing Sora with a small group of safety testers but the rest of us will have to wait to learn more.

Deploying high-performance, energy-efficient AI

Investments into downsized infrastructure can help enterprises reap the benefits of AI while mitigating energy consumption, says corporate VP and GM of data center platform engineering and architecture at Intel, Zane Ball.

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Researcher in lab

USF research expenditures up 14%, surging to more than $461 million

  • February 13, 2024

Research and Innovation

By Tina Meketa , University Communications and Marketing

From advancements in health care to cybersecurity to K-12 education, the University of South Florida’s research enterprise continues to achieve tremendous growth.

USF’s research spending rose 14% in fiscal year 2023 to more than $461 million. Spending on awards funded by federal agencies, such as the National Science Foundation, National Institutes of Health and the Department of Defense, increased to nearly 53% of USF’s total, up from 46% five years ago. 

Two researchers in lab

Shiva Swamynathan and Yiquin Du, USF Health Morsani College of Medicine [Photo by Allison Long, USF Health]

“Our growing research enterprise allows the University of South Florida to make an even greater impact in solving challenges, improving lives and creating a healthier future for the Tampa Bay region, state of Florida and beyond,” USF President Rhea Law said. “This significant year-over-year increase in research activity is a testament to our world-class faculty who continue to be at the forefront of new discoveries and innovations.”

USF’s position as one of the nation’s most research-intensive institutions was a significant factor in its invitation to join the prestigious Association of American Universities in 2023.  

“The remarkable increase in our research expenditures is a powerful indicator of the University of South Florida’s rapidly expanding research enterprise,” said Sylvia Wilson Thomas, USF vice president for research & innovation. “Driven by national and international grand challenges, USF researchers pursue critical knowledge that translates into real-world solutions.”

Students in cybersecurity classroom

[Photo by Torie Doll, University Communications and Marketing]

The increase is reflected in USF’s response to the National Science Foundation’s annual Higher Education Research and Development Survey, which serves as the primary source of information about the amount of research conducted by U.S. colleges and universities. While the NSF does not release a list of how universities compare until later in the year, based on last year’s rankings, $461 million would have placed USF No. 2 in Florida and No. 41 nationally among public universities.

Compared to last year, USF’s expenditures nearly doubled in computer and information sciences from $9.5 million to $18.8 million, largely driven by burgeoning cybersecurity programs. In collaboration with Cyber Florida, James Welsh, director of the Florida Center for Instructional Technology, served as principal investigator of the Cyber/IT Pathways Project – a state-funded initiative to bolster the cybersecurity workforce through industry certifications, internships and educational materials. 

"Pathways projects had a direct and positive impact on more than 27,000 Floridians, but the real value of the investment is in the connections created between cybersecurity educators at institutions at all levels across the state, sharing best practices and innovative strategies directly with other educators," Welsh said.

Jeffrey Krischer

Jeffrey Krischer [Photo by Allison Long, USF Health]

Engineering research spending jumped 22% to $62 million with new initiatives in bioengineering, human mobility and defense research. Health sciences and social sciences also experienced double-digit percentage increases of 14% and 12%, respectively.

At $42 million, the USF Health Diabetes and Endocrinology Center generated the most research expenditures of any unit at USF. The center coordinates an international network of university medical centers and health care providers to study the causes of Type 1 diabetes and strategies for its prevention, resulting in the first-ever drug approved by the FDA for diabetes prevention. Even more exciting results are coming as the center supports leading-edge research in genomics, proteomics, metabolomics and the largest microbiome study ever conducted in humans. 

Jose Castillo

[Photo courtesy of Associate Professor Jose Castillo]

“The result of our work together with physicians and scientists from all over the world has made a profound difference in many people’s lives,” said center Director Jeffrey Krischer. 

The Institute for School-Community Partnerships in the College of Education, led by Associate Professor Jose Castillo, utilized $17 million in research expenditures to implement several impactful projects, such as comprehensive training and technical assistance on literacy instruction, mental health services and assistive technology for students with disabilities. These supports were designed to improve the academic, social and overall well-being of students across the state of Florida. 

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College of Nursing

Driving change: a case study of a dnp leader in residence program in a gerontological center of excellence.

View as pdf A later version of this article appeared in Nurse Leader , Volume 21, Issue 6 , December 2023 . 

The American Association of Colleges of Nursing (AACN) published the Essentials of Doctoral Education for Advanced Practice Nursing in 2004 identifying the essential curriculum needed for preparing advanced practice nurse leaders to effectively assess organizations, identify systemic issues, and facilitate organizational changes. 1 In 2021, AACN updated the curriculum by issuing The Essentials: Core Competencies for Professional Nursing Education to guide the development of competency-based education for nursing students. 1 In addition to AACN’s competency-based approach to curriculum, in 2015 the American Organization of Nurse Leaders (AONL) released Nurse Leader Core Competencies (updated in 2023) to help provide a competency based model to follow in developing nurse leaders. 2

Despite AACN and AONL competency-based curriculum and model, it is still common for nurse leaders to be promoted to management positions based solely on their work experience or exceptional clinical skills, rather than demonstration of management and leadership competencies. 3 The importance of identifying, training, and assessing executive leaders through formal leadership development programs, within supportive organizational cultures has been discussed by national leaders. As well as the need for nurturing emerging leaders through fostering interprofessional collaboration, mentorship, and continuous development of leadership skills has been identified. 4 As Doctor of Nursing Practice (DNP) nurse leaders assume executive roles within healthcare organizations, they play a vital role within complex systems. Demonstration of leadership competence and participation in formal leadership development programs has become imperative for their success. However, models of competency-based executive leadership development programs can be hard to find, particularly programs outside of health care systems.

The implementation of a DNP Leader in Residence program, such as the one designed for The Barbara and Richard Csomay Center for Gerontological Excellence, addresses many of the challenges facing new DNP leaders and ensures mastery of executive leadership competencies and readiness to practice through exposure to varied experiences and close mentoring. The Csomay Center , based at The University of Iowa, was established in 2000 as one of the five original Hartford Centers of Geriatric Nursing Excellence in the country. Later funding by the Csomay family established an endowment that supports the Center's ongoing work. The current Csomay Center strategic plan and mission aims to develop future healthcare leaders while promoting optimal aging and quality of life for older adults. The Csomay Center Director created the innovative DNP Leader in Residence program to foster the growth of future nurse leaders in non-healthcare systems. The purpose of this paper is to present a case study of the development and implementation of the Leader in Residence program, followed by suggested evaluation strategies, and discussion of future innovation of leadership opportunities in non-traditional health care settings.

Development of the DNP Leader in Residence Program

The Plan-Do-Study-Act (PDSA) cycle has garnered substantial recognition as a valuable tool for fostering development and driving improvement initiatives. 5 The PDSA cycle can function as an independent methodology and as an integral component of broader quality enhancement approaches with notable efficacy in its ability to facilitate the rapid creation, testing, and evaluation of transformative interventions within healthcare. 6 Consequently, the PDSA cycle model was deemed fitting to guide the development and implementation of the DNP Leader in Residence Program at the Csomay Center.

PDSA Cycle: Plan

Existing resources. The DNP Health Systems: Administration/Executive Leadership Program offered by the University of Iowa is comprised of comprehensive nursing administration and leadership curriculum, led by distinguished faculty composed of national leaders in the realms of innovation, health policy, leadership, clinical education, and evidence-based practice. The curriculum is designed to cultivate the next generation of nursing executive leaders, with emphasis on personalized career planning and tailored practicum placements. The DNP Health Systems: Administration/Executive Leadership curriculum includes a range of courses focused on leadership and management with diverse topics such as policy an law, infrastructure and informatics, finance and economics, marketing and communication, quality and safety, evidence-based practice, and social determinants of health. The curriculum is complemented by an extensive practicum component and culminates in a DNP project with additional hours of practicum.

New program. The DNP Leader in Residence program at the Csomay Center is designed to encompass communication and relationship building, systems thinking, change management, transformation and innovation, knowledge of clinical principles in the community, professionalism, and business skills including financial, strategic, and human resource management. The program fully immerses students in the objectives of the DNP Health Systems: Administration/Executive Leadership curriculum and enables them to progressively demonstrate competencies outlined by AONL. The Leader in Residence program also includes career development coaching, reflective practice, and personal and professional accountability. The program is integrated throughout the entire duration of the Leader in Residence’s coursework, fulfilling the required practicum hours for both the DNP coursework and DNP project.

The DNP Leader in Residence program begins with the first semester of practicum being focused on completing an onboarding process to the Center including understanding the center's strategic plan, mission, vision, and history. Onboarding for the Leader in Residence provides access to all relevant Center information and resources and integration into the leadership team, community partnerships, and other University of Iowa College of Nursing Centers associated with the Csomay Center. During this first semester, observation and identification of the Csomay Center Director's various roles including being a leader, manager, innovator, socializer, and mentor is facilitated. In collaboration with the Center Director (a faculty position) and Center Coordinator (a staff position), specific competencies to be measured and mastered along with learning opportunities desired throughout the program are established to ensure a well-planned and thorough immersion experience.

Following the initial semester of practicum, the Leader in Residence has weekly check-ins with the Center Director and Center Coordinator to continue to identify learning opportunities and progression through executive leadership competencies to enrich the experience. The Leader in Residence also undertakes an administrative project for the Center this semester, while concurrently continuing observations of the Center Director's activities in local, regional, and national executive leadership settings. The student has ongoing participation and advancement in executive leadership roles and activities throughout the practicum, creating a well-prepared future nurse executive leader.

After completing practicum hours related to the Health Systems: Administration/Executive Leadership coursework, the Leader in Residence engages in dedicated residency hours to continue to experience domains within nursing leadership competencies like communication, professionalism, and relationship building. During residency hours, time is spent with the completion of a small quality improvement project for the Csomay Center, along with any other administrative projects identified by the Center Director and Center Coordinator. The Leader in Residence is fully integrated into the Csomay Center's Leadership Team during this phase, assisting the Center Coordinator in creating agendas and leading meetings. Additional participation includes active involvement in community engagement activities and presenting at or attending a national conference as a representative of the Csomay Center. The Leader in Residence must mentor a master’s in nursing student during the final year of the DNP Residency.

Implementation of the DNP Leader in Residence Program

PDSA Cycle: Do

Immersive experience. In this case study, the DNP Leader in Residence was fully immersed in a wide range of center activities, providing valuable opportunities to engage in administrative projects and observe executive leadership roles and skills during practicum hours spent at the Csomay Center. Throughout the program, the Leader in Residence observed and learned from multidisciplinary leaders at the national, regional, and university levels who engaged with the Center. By shadowing the Csomay Center Director, the Leader in Residence had the opportunity to observe executive leadership objectives such as fostering innovation, facilitating multidisciplinary collaboration, and nurturing meaningful relationships. The immersive experience within the center’s activities also allowed the Leader in Residence to gain a deep understanding of crucial facets such as philanthropy and community engagement. Active involvement in administrative processes such as strategic planning, budgeting, human resources management, and the development of standard operating procedures provided valuable exposure to strategies that are needed to be an effective nurse leader in the future.

Active participation. The DNP Leader in Residence also played a key role in advancing specific actions outlined in the center's strategic plan during the program including: 1) the creation of a membership structure for the Csomay Center and 2) successfully completing a state Board of Regents application for official recognition as a distinguished center. The Csomay Center sponsored membership for the Leader in Residence in the Midwest Nurse Research Society (MNRS), which opened doors to attend the annual MNRS conference and engage with regional nursing leadership, while fostering socialization, promotion of the Csomay Center and Leader in Residence program, and observation of current nursing research. Furthermore, the Leader in Residence participated in the strategic planning committee and engagement subcommittee for MNRS, collaborating directly with the MNRS president. Additional active participation by the Leader in Residence included attendance in planning sessions and completion of the annual report for GeriatricPain.org , an initiative falling under the umbrella of the Csomay Center. Finally, the Leader in Residence was involved in archiving research and curriculum for distinguished nursing leader and researcher, Dr. Kitty Buckwalter, for the Benjamin Rose Institute on Aging, the University of Pennsylvania Barbara Bates Center for the Study of the History of Nursing, and the University of Iowa library archives.

Suggested Evaluation Strategies of the DNP Leader in Residence Program

PDSA Cycle: Study

Assessment and benchmarking. To effectively assess the outcomes and success of the DNP Leader in Residence Program, a comprehensive evaluation framework should be used throughout the program. Key measures should include the collection and review of executive leadership opportunities experienced, leadership roles observed, and competencies mastered. The Leader in Residence is responsible for maintaining detailed logs of their participation in center activities and initiatives on a semester basis. These logs serve to track the progression of mastery of AONL competencies by benchmarking activities and identifying areas for future growth for the Leader in Residence.

Evaluation. In addition to assessment and benchmarking, evaluations need to be completed by Csomay Center stakeholders (leadership, staff, and community partners involved) and the individual Leader in Residence both during and upon completion of the program. Feedback from stakeholders will identify the contributions made by the Leader in Residence and provide valuable insights into their growth. Self-reflection on experiences by the individual Leader in Residence throughout the program will serve as an important measure of personal successes and identify gaps in the program. Factors such as career advancement during the program, application of curriculum objectives in the workplace, and prospects for future career progression for the Leader in Residence should be considered as additional indicators of the success of the program.

The evaluation should also encompass a thorough review of the opportunities experienced during the residency, with the aim of identifying areas for potential expansion and enrichment of the DNP Leader in Residence program. By carefully examining the logs, reflecting on the acquired executive leadership competencies, and studying stakeholder evaluations, additional experiences and opportunities can be identified to further enhance the program's efficacy. The evaluation process should be utilized to identify specific executive leadership competencies that require further immersion and exploration throughout the program.

Future Innovation of DNP Leader in Residence Programs in Non-traditional Healthcare Settings

PDSA Cycle: Act

As subsequent residents complete the program and their experiences are thoroughly evaluated, it is essential to identify new opportunities for DNP Leader in Residence programs to be implemented in other non-health care system settings. When feasible, expansion into clinical healthcare settings, including long-term care and acute care environments, should be pursued. By leveraging the insights gained from previous Leaders in Residence and their respective experiences, the program can be refined to better align with desired outcomes and competencies. These expansions will broaden the scope and impact of the program and provide a wider array of experiences and challenges for future Leaders in Residency to navigate, enriching their development as dynamic nurse executive leaders within diverse healthcare landscapes.

This case study presented a comprehensive overview of the development and implementation of the DNP Leader in Residence program developed by the Barbara and Richard Csomay Center for Gerontological Excellence. The Leader in Residence program provided a transformative experience by integrating key curriculum objectives, competency-based learning, and mentorship by esteemed nursing leaders and researchers through successful integration into the Center. With ongoing innovation and application of the PDSA cycle, the DNP Leader in Residence program presented in this case study holds immense potential to help better prepare 21 st century nurse leaders capable of driving positive change within complex healthcare systems.

Acknowledgements

         The author would like to express gratitude to the Barbara and Richard Csomay Center for Gerontological Excellence for the fostering environment to provide an immersion experience and the ongoing support for development of the DNP Leader in Residence program. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

  • American Association of Colleges of Nursing. The essentials: core competencies for professional nursing education. https://www.aacnnursing.org/Portals/42/AcademicNursing/pdf/Essentials-2021.pdf . Accessed June 26, 2023.
  • American Organization for Nursing Leadership. Nurse leader core competencies. https://www.aonl.org/resources/nurse-leader-competencies . Accessed July 10, 2023.
  • Warshawsky, N, Cramer, E. Describing nurse manager role preparation and competency: findings from a national study. J Nurs Adm . 2019;49(5):249-255. DOI:  10.1097/NNA.0000000000000746
  • Van Diggel, C, Burgess, A, Roberts, C, Mellis, C. Leadership in healthcare education. BMC Med. Educ . 2020;20(465). doi: 10.1186/s12909-020-02288-x
  • Institute for Healthcare Improvement. Plan-do-study-act (PDSA) worksheet. https://www.ihi.org/resources/Pages/Tools/PlanDoStudyActWorksheet.aspx . Accessed July 4, 2023.
  • Taylor, M, McNicolas, C, Nicolay, C, Darzi, A, Bell, D, Reed, J. Systemic review of the application of the plan-do-study-act method to improve quality in healthcare. BMJ Quality & Safety. 2014:23:290-298. doi: 10.1136/bmjqs-2013-002703

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Higher education, urban resilience and infrastructure

How do we reimagine curriculum, content and delivery?

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7 August 2023

The project focuses on developing a detailed curriculum, responding to the knowledge and skill gaps identified in a previous study funded by an Exploratory Grant (EG) awarded by the British Council in 2021-22. With the EG, we analysed the gaps in current curricula and pedagogical approaches of how urban resilience and disaster resilient infrastructure (DRI) is being taught in HEIs in India. It leveraged the combined experience of DPU and IIHS, assembled a network of institutions committed to redefining DRI in of higher education institutions (HEIs) and developed a baseline curriculum.

The top-up project expands the current network to include a UK-consortium of HEIs, which will work with the Indian consortium to co-create a detailed curriculum. The curriculum will be piloted in 1-2 Indian partner HEIs, which will entail identifying workable strategies to co-teach the developed curriculum as a programmatic intervention. The curriculum will respond to the need for interdisciplinary education to address critical challenges of urban infrastructure resilience. We propose an approach that recognises interdisciplinarity as the organising principle, which will foster substantial critical thinking together with reflexive and transformational pedagogical methods and modes of delivery.

The curriculum will enable creating critical capacities in ensuring agile response to the urban infrastructure resilience challenges, via integration of practice dimensions and thus catering to real world demand. As such, the proposed design of the curriculum resonates well with the emerging context of HE in both India as well as the UK.

PI: Prof Cassidy Johnson (DPU)

Nihal Ranjit (School of Environment and Sustainability, IIHS) Dr Amir Bashir Bazaz (School of Environment and Sustainability and School of Infrastructure and Systems, IIHS) Vineetha Nalla (School of Environment and Sustainability, IIHS Gargi Sen (School of Systems and Infrastructure, IIHS) Felipe Rivera (UCL EPICentre) Sahin Dede (UCL EPICentre) Mark Ojal (UCL IRDR)

UCL EPICentre Urban Cluster ( https://www.ucl.ac.uk/epicentre )

Indian Institution for Human Settlements (IIHS, https://iihs.co.in/ ) 

Coalition for Disaster Resilient Infrastructure (CDRI,  https://cdri.world/ )

Higher Education Curriculum on Disaster Resilient Infrastructures  (report)

Higher education, urban resilience, and infrastructure: How do we reimagine curriculum content and delivery? (report)

Considering curriculum, content, and delivery for adaptive pathways: higher education and disaster resilient infrastructure in the Indian urban context (paper)

Funding: British Council Going Global Partnerships grants (Top-up Grant), phase 2

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    unfortunately no comprehensive Guide for research development to inform the planning and execution of research projects and portfolios exists today. 1.3. Research Questions To determine the need for a research development Guide, it is important to answer the following questions: 1. What are the current problems related to funded research? 2.

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    Resources 18 How to write a research project Along with writing, research is one of the most important skills you will need to develop. How good you become at it will determine how successful you are in your studies. Every research project you do will be different, but they will also share some essential common elements.

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    Chapters 8 and 9 delve more specifically into methodologies that inform research. Chapter 8 takes you through what are often described as qualitative, quantitative and mixed methodologies. Chapter 9 explores more purposive approaches such as evaluative, action-oriented, and emancipatory strategies.

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    ficient interest. Interest in the research questions is critical. Even a small-scale project can become tedious. Unless you have a deep concern for the topic, the project likely will flounder. Similarly, designing a project without sufficient resources to implement it leads to frustration; it, too, may never be completed.

  10. PDF Developing a Research Plan

    4.1 Introduction. Primarily, the focus of developing a research plan is to assist researchers with their engineering research project design or planning and guide them in the compila-tion of the required research tools and techniques. Often, these tools and tech-niques differ from one engineering discipline to the other.

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    Overview This tool is designed to guide you through your research project. First, think about what stage you're at in your research. If you've already gotten started, click on the stage below that best describes where you are. If you're just starting out, it might be helpful to read more about why we do research before getting started.

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  17. PDF Definition of A Research Project and Specifications for Fulfilling the

    research project is a scientific endeavor to answer a research question. Research projects may include: Case series Case control study Cohort study Randomized, controlled trial Survey Secondary data analysis such as decision analysis, cost effectiveness analysis or meta-analysis. Each resident must work under the guidance of a faculty mentor.

  18. (PDF) Chapter 3 Planning and Designing research projects (The research

    Chapter 3 Planning and Designing research projects (The research process) Authors: Dushar Dayarathna University of Sri Jayewardenepura Abstract This book is about the research design for the...

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  20. PDF Introduction to Project Planning and Development

    1. Have an overview of the project planning and development process. 2. Complete activities that incorporate the 11 steps of project development. The Project Cycle The process of planning and managing projects follows a logical, continuous cycle. Each phase of the project leads to the next.

  21. How To Write a Research Plan (With Template and Examples)

    If you want to learn how to write your own plan for your research project, consider the following seven steps: 1. Define the project purpose. The first step to creating a research plan for your project is to define why and what you're researching. Regardless of whether you're working with a team or alone, understanding the project's purpose can ...

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    This chapter focuses on project planning and management. After a brief introduction of project life cycle, the following section deals with project formulation and project proposal...

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    View as pdf A later version of this article appeared in Nurse Leader, Volume 21, Issue 6, December 2023.. Background. The American Association of Colleges of Nursing (AACN) published the Essentials of Doctoral Education for Advanced Practice Nursing in 2004 identifying the essential curriculum needed for preparing advanced practice nurse leaders to effectively assess organizations, identify ...

  29. Higher education, urban resilience and infrastructure

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